A classification system for global wave energy resources based on multivariate clustering
- Submitting institution
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Swansea University / Prifysgol Abertawe
- Unit of assessment
- 12 - Engineering
- Output identifier
- 53336
- Type
- D - Journal article
- DOI
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10.1016/j.apenergy.2020.114515
- Title of journal
- Applied Energy
- Article number
- 114515
- First page
- -
- Volume
- 262
- Issue
- -
- ISSN
- 0306-2619
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2020
- URL
-
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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-
- Research group(s)
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5 - ZCCE - Zienkiewicz Centre for Computational Engineering
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Metrics used in the study were chosen in collaboration with WEC developer Marine Power Systems (MPS), ensuring relevance to existing as well as future technology. MPS used the results to identify the global deployment potential for the WaveSub WEC, currently under full scale prototype development. (John Chapman, john@marinepowersystems.co.uk)
- Author contribution statement
- -
- Non-English
- No
- English abstract
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